3d Object Recognition Using Centroidal Representation
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 2
Abstract
Abstract: Three dimensional object recognition from two-dimensional image is implemented in this work with the use of 512 different poses of the object (which is represented by an airplane or a cube or a satellite). The object is rotated in the three directions (x,y,z) by an angle of 2/8 rad. (45). Centroidal sample representation was used to represent the data extracted from the object. Also four or five variables for each object are calculated. These variables represent fast-calculated features of the object that can speed up the recognition process. These variables are scaled and position in variant representation of the object. The mathematical model that represents the object was calculated in two methods. These were the Wavelet Transform Model and the Auto regression Model
Authors and Affiliations
Anwer Subhi Abdulhussein Oleiwi
Keywords
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